Association Between Nutrition Knowledge and Nutritional Status with Blood Glucose Status in Rural Areas

Authors

  • Andi Eka Yunianto of Community Nutrition, Faculty of Human Ecology, Bogor Agricultural University, Bogor-16680, Indonesia
  • Ali Khomsan Department of Community Nutrition, Faculty of Human Ecology, Bogor Agricultural University, Bogor-16680, Indonesia
  • Cesilia Meti Dwiriani Department of Community Nutrition, Faculty of Human Ecology, Bogor Agricultural University, Bogor-16680, Indonesia
  • Naufal Muharam Nurdin Department of Community Nutrition, Faculty of Human Ecology, Bogor Agricultural University, Bogor-16680, Indonesia

DOI:

https://doi.org/10.3923/pjn.2015.603.610

Keywords:

Glucose status, nutritional status, nutrition knowledge

Abstract

The objectives of this study were to: analyze the association between nutrition knowledge and nutritional status with blood glucose status in rural areas. The design of this study was cross-sectional and this study was conducted on 84 people aged 45-59 years from 42 households in Cisalak Village, Cibeber Sub-district, Cianjur District. The result showed that there was no significant difference in the blood glucose status between rural men and women. All participants had low nutrition knowledge. The nutritional status were normal in men and women. Waist circumference (OR = 3.280; 95% CI: 1.093-9.843) and visceral fat (OR = 2.882; 95% CI: 0.983-8.455) were significantly related to blood glucose status. This implied that nutrition education on the importance of maintaining a normal weight needed to be done to avoid the risks and complications due to high blood sugar status. Socialization to general public was also needed, particularly about the importance of maintaining body weight by adopting healthy lifestyle such as not smoking, regular exercise and lessening the consumption of sweet food or sugar-sweetened beverages, in order to maintain blood glucose status.

References

Aghili, R., M. Malek, A.E. Valojerdi, Z. Banazadeh, L. Najafi and M.E. Khamseh, 2014. Body composition in adults with newly diagnosed type 2 diabetes: effects of metformin. J. Diabetes Metab. Disorders.

Al-Aboudi, I.S., M.A. Hassali, A. Shafie, K.A. Rubeaan and A. Hassan, 2014. Knowledge, attitudes and quality of Life of type 2 diabetes patients in Saudi Arabia. Saudi Pharm. J.

Anjana, M., S. Sandeep, R. Deepa, K.S. Vimaleswaran, S. Farooq and V. Mohan, 2004. Visceral and central abdominal fat and anthropometry in relation to diabetes in Asian Indians. Diabetes Care, 27: 2948-2953.

Bays, H.E., R.H. Chapman, S. Grandy and SHIELD Investigators Group, 2007. The relationship of body mass index to diabetes mellitus, hypertension and dyslipidaemia: comparison of data from two national surveys. Int. J. Clin. Pract., 61: 737-747.

Carey, V.J., E.E. Walters, G.A. Colditz, C.G. Solomon and W.C. Willett et al., 1997. Body fat distribution and risk of non-insulin-dependent diabetes mellitus in women the nurses' health study. Am. J. Epidemiol., 145: 614-619.

Chilton, L., J. Hu and D.C. Wallace, 2006. Health-promoting lifestyle and diabetes knowledge in Hispanic American adults. Home Health Care Manage. Pract., 18: 378-385.

Effendi, A.T., 2013. [Nutrigenomics of Pre-Diabetes Metabolic Syndrome Insulin Resistance]. IPB Press, Bogor, Indonesia.

Gallagher, D., S.B. Heymsfield, M. Heo, S.A. Jebb, P.R. Murgatroyd and Y. , 2000. Healthy percentage body fat ranges: An approach for developing guidelines based on body mass index. Am. J. Clin. Nutr., 72: 694-701.

Gallagher, D. and M.Y. Song, 2003. Evaluation of body composition: Practical guidelines. Prim Care: Clin. Office Pract., 30: 249-265.

Ganz, M.L., N. Wintfeld, Q. Li, V. Alas, J. Langer and M. Hammer, 2014. The association of body mass index with the risk of type 2 diabetes: A case-control study nested in an electronic health records system in the United States. Diabetol. Metabol. Syndrome, Vol. 6.

Grylls, W.K., J.E. McKenzie, C.C. Horwath and J.I. Mann, 2003. Lifestyle factors associated with glycaemic control and body mass index in older adults with diabetes. Eur. J. Clin. Nutr., 57: 1386-1393.

Hajian-Tilaki, K. and B. Heidari, 2015. Is waist circumference a better predictor of diabetes than body mass index or waist-to-height ratio in iranian adults? Int. J. Prev. Med., Vol. 6.

Huxley, R., S. Mendis, E. Zheleznyakov, S. Reddy and J. Chan, 2010. Body mass index, waist circumference and waist: Hip ratio as predictors of cardiovascular risk-a review of the literature. Eur. J. Clin. Nutr., 64: 16-22.

IDF., 2013. IDF Diabetes Atlas. 6th Edn., International Diabetes Federation, Brussels, Belgium.

Jerant, A., K.D. Bertakis and P. Franks, 2015. Body mass index and health status in diabetic and non-diabetic individuals. Nutr. Diabetes, Vol. 5.

Kim, J.I., A. Sillah, J.L. Boucher, A.C. Sidebottom and T. Knickelbine, 2013. Prevalence of the American Heart Association's Ideal Cardiovascular Health metrics in a rural, cross‐sectional, community‐based study: The heart of new ulm project. J. Am. Heart Assoc., Vol. 2.

Khomsan, A., 2000. Teknik pengukuran pengetahuan gizi (nutrition knowledge measurement techniques). Departemen Gizi Masyarakat Dan Sumber Daya Keluarga, Institut Pertanian Bogor (Department of Community Nutrition and Family Resources, Bogor Agricultural University), Bogor, Indonesia.

Lorga, T., K. Srithong, P. Manokulanan, T.N.N. Aung and M.N. Aung, 2012. Public knowledge of diabetes in Karen Ethnic rural residents: A community-based questionnaires study in the far North-West of Thailand. Int. J. Gen. Med., 5: 799-804.

Meisinger, C., A. Doring, B. Thorand, M. Heier and H. Lowel, 2006. Body fat distribution and risk of type 2 diabetes in the general population: Are there differences between men and women? The MONICA/KORA Augsburg cohort study. Am. J. Clin. Nutr., 84: 483-489.

Mirarefin, M., F. Sharifi, H. Fakhrzadeh, M.R. Amini and M. Ghaderpanahi et al., 2014. Waist circumference and insulin resistance in elderly men: An analysis of Kahrizak elderly study. J. Diabetes Metabol. Disorders, Vol. 13.

Nathan, D.M., M.B. Davidson, R.A. DeFronzo, R.J. Heine, R.R. Henry, R. Pratley and B. Zinman, 2007. Impaired fasting glucose and impaired glucose tolerance: Implications for care. Diabetes Care, 30: 753-759.

Notoadmodjo, S., 2003. [Education and Behavioral Health]. Rineka Cipta, Jakarta, Indonesia, (In Indonesian).

O'Connor, A. and G. Wellenius, 2012. Rural-urban disparities in the prevalence of diabetes and coronary heart disease. Public Health, 126: 813-820.

ISOE., 2011. [The Consensus of Control and Prevention of Type 2 Diabetes Mellitus]. Indonesian Society of Endocrinology, Jakarta, Indonesia, (In Indonesian).

Perry, J.R., B.F. Voight, L. Yengo, N. Amin and J. Dupuis et al., 2012. Stratifying type 2 diabetes cases by BMI identifies genetic risk variants in LAMA1 and enrichment for risk variants in lean compared to obese cases. Plos Genet., Vol. 8.

Savva, S.C., D. Lamnisos and A.G. Kafatos, 2013. Predicting cardiometabolic risk: Waist-to-height ratio or BMI. A meta-analysis. Diabetes Metabolic Syndr. Obesity: Targets Therapy, 6: 403-419.

Al Shafaee, M.A., S. Al-Shukaili, S.G.A. Rizvi, Y. Al Farsi and M.A. Khan et al., 2008. Knowledge and perceptions of diabetes in a semi-urban Omani population. BMC Public Health, Vol. 8.

Shaw, J.E., R.A. Sicree and P.Z. Zimmet, 2010. Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res. Clin. Pract., 87: 4-14.

Soniya, I., M.A. Devi and S. Rosemary, 2014. Body composition in diabetes mellitus. IOSR J. Dental Med. Sci., 13: 68-70.

Suastika, K., P. Dwipayana, I.M.R. Saraswati, T. Kuswardhani and N. Astika et al., 2011. Relationship between age and metabolic disorders in the population of Bali. J. Clin. Gerontol. Geriatr., 2: 47-52.

Tchernof, A. and J.P. Despres, 2013. Pathophysiology of human visceral obesity: An update. Physiol. Rev., 93: 359-404.

Tobias, D.K., A. Pan, C.L. Jackson, E.J. O'Reilly and E.L. Ding et al., 2014. Body-mass index and mortality among adults with incident type 2 diabetes. New Eng. J. Med., 370: 233-244.

Unno, M., N. Furusyo, H. Mukae, T. Koga, K. Eiraku and J. Hayashi, 2012. The utility of visceral fat level by bioelectrical impedance analysis in the screening of metabolic syndrome-the results of the Kyushu and Okinawa Population Study (KOPS). J. Atheroscler. Thromb., 19: 462-470.

Wannamethee, S.G., A.G. Shaper and M. Walker, 2005. Overweight and obesity and weight change in middle aged men: Impact on cardiovascular disease and diabetes. J. Epidemiol. Commun. Health, 59: 134-139.

Waspadji, S., P. Soewondo, I. Subekti, S. Soebardi, D.S. Harbuwono, L.A. Pramono and T. Supali, 2013. Ende diabetes study: Diabetes and its characteristics in rural area of East Nusa Tenggara. Med. J. Indonesia, 22: 30-38.

WHO., 2006. Definition and diagnosis of diabetes mellitus and intermediate hyperglycaemia: Report of a WHO/IDF consultation. World Health Organization, Geneva, Switzerland.

Zhang, L., Y. Shen., J. Zhou, J.M. Pan and H.Y. Yu et al., 2014. Relationship between waist circumference and elevation of carotid intima-media thickness in newly-diagnosed diabetic patients. Biomed. Environ. Sci., 27: 335-342.

Zoppini, G., G. Verlato, C. Leuzinger, C. Zamboni, E. Brun, E. Bonora and M. Muggeo, 2003. Body mass index and the risk of mortality in type II diabetic patients from Verona. Int. J. Obesity, 27: 281-285.

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Published

15.08.2015

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Research Article

How to Cite

Yunianto, A. E., Khomsan, A., Dwiriani, C. M., & Nurdin, N. M. (2015). Association Between Nutrition Knowledge and Nutritional Status with Blood Glucose Status in Rural Areas. Pakistan Journal of Nutrition, 14(9), 603–610. https://doi.org/10.3923/pjn.2015.603.610

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